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5G MEC Architecture for Vulnerable Road Users Management Through Smart City Data Fusion., , , , , , , and . MobiCom, page 112:1-112:3. ACM, (2023)Machine Learning Techniques for Understanding and Predicting Memory Interference in CPU-GPU Embedded Systems., , , , and . RTCSA, page 147-156. IEEE, (2023)A Systematic Assessment of Embedded Neural Networks for Object Detection., , , , , , , , , and . ETFA, page 937-944. IEEE, (2020)High-Performance Feature Extraction for GPU -Accelerated ORB-SLAMx., , , and . DATE, page 1-2. IEEE, (2024)SiGAMMA: server based integrated GPU arbitration mechanism for memory accesses., , , and . RTNS, page 48-57. ACM, (2017)API Comparison of CPU-To-GPU Command Offloading Latency on Embedded Platforms (Artifact)., , , and . Dagstuhl Artifacts Ser., 5 (1): 04:1-04:3 (2019)Improving emergency response in the era of ADAS vehicles in the Smart City., , , and . ICT Express, 7 (4): 481-486 (2021)A Taxonomy of Modern GPGPU Programming Methods: On the Benefits of a Unified Specification., , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 41 (6): 1649-1662 (2022)Driving Safety & Awareness Cooperative Business Model exploiting the 5GMETA platform., , , , and . FNWF, page 299-304. IEEE, (2022)Deadline-Based Scheduling for GPU with Preemption Support., , , and . RTSS, page 119-130. IEEE Computer Society, (2018)